fMRI Neurofeedback provides a perspective on how the field of functional magnetic resonance imaging (fMRI) neurofeedback has evolved, an introduction to state-of-the-art methods used for fMRI neurofeedback, a review of published neuroscientific and clinical applications, and a discussion of relevant ethical considerations. It gives a view of the ongoing research challenges throughout and provides guidance for researchers new to the field on the practical implementation and design of fMRI neurofeedback protocols. This book is designed to be accessible to all scientists and clinicians interested in conducting fMRI neurofeedback research, addressing the variety of different knowledge gaps that readers may have given their varied backgrounds and avoiding field-specific jargon. The book, therefore, will be suitable for engineers, computer scientists, neuroscientists, psychologists, and physicians working in fMRI neurofeedback. - Provides a reference on fMRI neurofeedback covering history, methods, mechanisms, clinical applications, and basic research, as well as ethical considerations - Offers contributions from international experts—leading research groups are represented, including from Europe, Japan, Israel, and the United States - Includes coverage of data analytic methods, study design, neuroscience mechanisms, and clinical considerations - Presents a perspective on future translational development

Neurofeedback is utilized by over 10,000 clinicians worldwide with new techniques and uses being found regularly. Z Score Neurofeedback is a new technique using a normative database to identify and target a specific individual's area of dysregulation allowing for faster and more effective treatment. The book describes how to perform z Score Neurofeedback, as well as research indicating its effectiveness for a variety of disorders including pain, depression, anxiety, substance abuse, PTSD, ADHD, TBI, headache, frontal lobe disorders, or for cognitive enhancement. Suitable for clinicians as well as researchers this book is a one stop shop for those looking to understand and use this new technique. - Contains protocols to implement Z score neurofeedback - Reviews research on disorders for which this is effective treatment - Describes advanced techniques and applications

Mounting evidence in the last years has demonstrated that self-regulation of brain activity can successfully be achieved by neurofeedback (NF). These methodologies have constituted themselves as new tools for cognitive neuroscience establishing causal links between voluntary brain activations and cognition and behavior, and as potential novel approaches for clinical applications in severe neuropsychiatric disorders (e.g. schizophrenia, depression, Parkinson´s disease, etc.). Current developments of brain imaging-based neurofeedback include the study of the behavioral modifications and neural reorganization produced by learned regulation of the activity of circumscribed brain regions and neuronal network activations. In a rapidly developing field, many open questions and controversies have arisen, i.e. choosing the proper experimental design, the adequate use of control conditions and subjects, the mechanism of learning involved in brain self-regulation, and the still unexplored potential long-lasting effect on brain reorganization and clinical alleviation, among others. This special issue on self-regulation of the brain of emotion and attention using NF approaches interested authors to report technical and methodological advances, scientific investigations in understanding the relation between brain activity and behaviour using NF, and finally studies developing clinical treatment of emotional and attentional disorders. The editors of this special issue anticipate rapid developments in this emerging field.

Psychiatric imaging needs to move away from simple investigations of the neurobiology underling the early phases of psychiatric diseases to translate imaging findings in the clinical field targeting clinical outcomes including transition, remission and response to preventative interventions. This research topic aims to bring psychiatric neuroimaging studies towards translational impacts in clinical practice, suggesting that brain abnormalities may be of potential use for detecting clinical outcomes as treatment response. First-generation psychiatric neuroimaging focused on simple structural brain alterations associated with the neurobiology of the illness. These early studies adopted imaging methods mainly including computerized tomography (CT) to investigate brain size. Second-generation psychiatric neuroimaging studies benefited from more sophisticated techniques which included structural methods (sMRI) coupled with whole-brain automated methods (voxel based morphometry, VBM), white-matter methods (diffusion tensor imaging, DTI and tractography), functional methods (functional magnetic resonance imaging, fMRI) and advanced neurochemical imaging (PET techniques addressing receptor bindings and pre/post synaptic functions, magnetic resonance spectroscopy, MRS) and sophisticated meta-analytical imaging methods. However, no consistent or reliable anatomical or functional brain alterations have been univocally associated with any psychiatric disorder and no clinical applications have been developed in psychiatric neuroimaging. There is thus urgent need of psychiatric imaging to move towards third-generation paradigms. In this research topic, these novel neuroimaging studies here requested to move away from simple investigations of the neurobiology to translate imaging findings in the clinical field targeting longitudinal outcomes including transition, remission and response to preventative interventions. With respect to methods, the most recent neuroimaging approaches (e.g. structural and functional MRI, EEG, DTI, spectroscopy, PET) are welcome. Third generation psychiatric imaging studies including multimodal approaches, multi-center analyses, mega-analyses, effective connectivity, dynamic causal modelling, support vector machines, structural equation modelling, or graph theory analysis are highly appreciated. Furthermore, these third-generation imaging studies may benefit from the incorporation of new sources of neurobiological information such as whole genome sequencing, proteomic, lipidomic and expression profiles and cellular models derived from recent induced pluripotent stem cells research. We collect Original Research, Reviews, Mini-Reviews, Book Review, Clinical Case Study, Clinical Trial, Editorial, General Commentary, Hypothesis & Theory, Methods, Mini Opinion, Perspective, and Technology Report from international researcher and clinicians in this field. The purpose of this research topic is intended to provide the field with current third-generation neuroimaging approaches in translational psychiatry that is hoped to improve and create therapeutic options for psychiatric diseases.

The second edition of this successful book provides further and in-depth insight into theoretical models dealing with Internet addiction, as well as includes new therapeutical approaches. The editors also broach the emerging topic of smartphone addiction. This book combines a scholarly introduction with state-of-the-art research in the characterization of Internet addiction. It is intended for a broad audience including scientists, students and practitioners. The first part of the book contains an introduction to Internet addiction and their pathogenesis. The second part of the book is dedicated to an in-depth review of neuroscientific findings which cover studies using a variety of biological techniques including brain imaging and molecular genetics. The third part of the book focuses on therapeutic interventions for Internet addiction. The fourth part of the present book is an extension to the first edition and deals with a new emerging potential disorder related to Internet addiction – smartphone addiction. Moreover, in this second edition of the book new content has been added. Among others, the reader will find an overview of theoretical models dealing with Internet addiction, results from twin studies in the context of Internet addiction and additional insights into therapeutic approaches to Internet addiction.

Working with the circuitry of the brain to restore emotional health and well-being. Neurofeedback, a type of "brain training" that allows us to see and change the patterns of our brain, has existed for over 40 years with applications as wide-ranging as the treatment of epilepsy, migraines, and chronic pain to performance enhancement in sports. Today, leading brain researchers and clinicians, interested in what the brain can tell us about mental health and well being, are also taking notice. Indeed, the brain's circuitry—its very frequencies and rhythmic oscillations—reveals much about its role in our emotional stability and resilience. Neurofeedback allows clinicians to guide their, clients as they learn to transform brain-wave patterns, providing a new window into how we view and treat mental illness. In this cutting-edge book, experienced clinician Sebern Fisher keenly demonstrates neurofeedback’s profound ability to help treat one of the most intractable mental health concerns of our time: severe childhood abuse, neglect, or abandonment, otherwise known as developmental trauma. When an attachment rupture occurs between a child and her or his primary caregiver, a tangle of complicated symptoms can set in: severe emotional dysregulation, chronic dissociation, self-destructive behaviors, social isolation, rage, and fear. Until now, few reliable therapies existed to combat developmental trauma. But as the author so eloquently presents in this book, by focusing on a client's brain-wave patterns and "training" them to operate at different frequencies, the rhythms of the brain, body, and mind are normalized, attention stabilizes, fear subsides, and, with persistent, dedicated training, regulation sets in. A mix of fundamental theory and nuts-and-bolts practice, the book delivers a carefully articulated and accessible look at the mind and brain in developmental trauma, what a “trauma identity” looks like, and how neurofeedback can be used to retrain the brain, thereby fostering a healthier, more stable state of mind. Essential clinical skills are also fully covered, including how to introduce the idea of neurofeedback to clients, how to combine it with traditional psychotherapy, and how to perform assessments. In his foreword to the book, internationally recognized trauma expert Bessel van der Kolk, MD, praises Fisher as “an immensely experienced neurofeedback practitioner [and] the right person to teach us how to integrate it into clinical practice.” Filled with illuminating client stories, powerful clinical insights, and plenty of clinical "how to," she accomplishes just that, offering readers a compelling look at exactly how this innovative model can be used to engage the brain to find peace and to heal.

Functional magnetic resonance imaging (fMRI) has become the most popular method for imaging brain function. Handbook for Functional MRI Data Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains the concepts behind processing fMRI data, focusing on the techniques that are most commonly used in the field. This book provides background about the methods employed by common data analysis packages including FSL, SPM, and AFNI. Some of the newest cutting-edge techniques, including pattern classification analysis, connectivity modeling, and resting state network analysis, are also discussed. Readers of this book, whether newcomers to the field or experienced researchers, will obtain a deep and effective knowledge of how to employ fMRI analysis to ask scientific questions and become more sophisticated users of fMRI analysis software.

This book reviews all aspects of major depressive disorder (MDD), casting light on its neurobiological underpinnings and describing the most recent advances in management. The book is divided into four sections, the first of which discusses MDD from a network science perspective, highlighting the alterations in functional and structural connectivity and presenting insights achieved through resting state functional MRI and the development of neuroimaging-based biomarkers. The second section examines important diagnostic and neurobiological issues, while the third considers the currently available specific treatments for MDD, including biofeedback, neurofeedback, cognitive behavioral therapy, acceptance and commitment therapy, neuromodulation therapy, psychodynamic therapy, and complementary and alternative medicine. A concluding section is devoted to promising emerging treatments, from novel psychopharmacological therapies through to virtual reality treatment, immunotherapy, biomarker-guided tailored therapy, and more. Written by leading experts from across the world, the book will be an excellent source of information for both researchers and practitioners.